Sustainable AI to Combat Carbon Footprint
From more efficient data centres to inventory predictions and improved transport routes, the benefits of this technology are diverse.
Recent technological development is one of the factors influencing the increase in global carbon emissions.
The consumption of data centres, the energy demand of Internet of Things devices and the impact of cloud computing are some of the reasons for this. According to Greenpeace data collected by Softtek, the data industry causes around 2% of global emissions.
At this point, Softtek itself indicates the benefits of committing to sustainable artificial intelligence (AI) that contributes to reducing the company’s carbon footprint.
On the one hand, the implementation of AI could configure ‘efficient data centres’, optimising energy use and reducing consumption. This technology allows forecasting load needs and adjusting usage dynamically.
This ‘optimisation of energy consumption’ is an advantage in itself. With AI, it is possible to monitor energy consumption in real time, detect areas for improvement and avoid waste by implementing more efficient usage strategies. This also leads to a reduction in operating costs.
The third element highlighted is ‘efficient resource management’. By analysing large volumes of data, companies can identify patterns and optimise their supply chains to reduce waste,’ says Softtek, which encourages testing AI in demand forecasting to adjust production and eliminate excess inventory.
It sees an ‘improvement in logistics and supply chain’. AI can influence transport route planning, as well as inventory management, to limit fuel consumption.
Finally, it enables the ‘development of sustainable products’, which are more energy efficient and environmentally responsible.
